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Patient Factors Associated With Delays in Obtaining Cancer Care in Botswana
Rohini K Bhatia1, Sarah Rayne1, William Rate1
1Rohini K. Bhatia, University of Rochester School of Medicine and Dentistry, Rochester, NY; Sarah Rayne, University of the Witwatersrand, Johannesburg, South Africa; William Rate, Georgetown University School of Medicine, Washington, DC; Lame Bakwenabatsile and Barati Monare, Botswana-University of Pennsylvania Partnership; Mohan Narasimhamurthy, University of Botswana; Surbhi Grover, Princess Marina Hospital, Gaborone, Botswana; Surbhi Grover, University of Pennsylvania, Philadelphia, PA; Chidinma Anakwenze, University of Texas Health Science Center at Houston, McGovern Medical School, Houston, TX; Preet Dhillon, Public Health Foundation of India, Gurgaon, India; Scott Dryden-Peterson, Brigham and Women's Hospital and Botswana Harvard AIDS Institute, Harvard TH Chan School of Public Health, Boston, MA.
Abstract:
Purpose Delays in diagnosis and treatment of cancers can lead to poor survival. These delays represent a multifaceted problem attributable to patient, provider, and systemic factors. We aim to quantify intervals from symptom onset to treatment start among patients with cancer in Botswana and to understand potential risk factors for delay. Patients and Methods From December 2015 to January 2017, we surveyed patients seen in an oncology clinic in Botswana. We calculated proportions of patients who experienced delays in appraisal (between detecting symptoms and perceiving a reason to discuss them with provider, defined as > 1 month), help seeking (between discussing symptoms and first consultation with provider, defined as > 1 month), diagnosis (between first consultation and receiving a diagnosis, defined as > 3 months), and treatment (between diagnosis and starting treatment, defined as > 3 months). Results Among 214 patients with cancer who completed the survey, median age at diagnosis was 46 years, and the most common cancer was cancer of the cervix (42.2%). Eighty-one percent of patients were women, 60.7% were HIV infected, and 56.6% presented with advanced cancer (stage III or IV). Twenty-six percent of patients experienced delays in appraisal, 35.5% experienced delays help seeking, 63.1% experienced delays in diagnosis, and 50.4% experienced delays in treatment. Patient income, education, and age were not associated with delays. In univariable analysis, patients living with larger families were less likely to experience a help-seeking delay (odds ratio [OR], 0.31; P = .03), women and patients with perceived very serious symptoms were less likely to experience an appraisal delay (OR, 0.45; P = .032 and OR, 0.14; P = .02, respectively). Conclusion Nearly all patients surveyed experienced a delay in obtaining cancer care. In a setting where care is provided without charge, cancer type and male sex were more important predictors of delays than socioeconomic factors.
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